Zobrazeno 1 - 10
of 1 380
pro vyhledávání: '"Controller-Synthesis"'
Autor:
I. A. Ivanov, D. A. Kotin
Publikováno v:
Известия высших учебных заведений: Проблемы энергетики, Vol 26, Iss 5, Pp 79-91 (2024)
RELEVANCE of the study lies in the development of an algorithm for controlling a DC voltage converter capable of providing a high-quality transient process with a wide change in the input parameters of the control object, affecting its nonlinear prop
Externí odkaz:
https://doaj.org/article/45d783f415ed48ee8d45cb67bf6d907b
Autor:
Mehmet Kurucan
Publikováno v:
IEEE Access, Vol 12, Pp 105393-105402 (2024)
In contemporary urban environments, the growing utilization of vehicles has emerged sophisticated challenges. Notably, degradation in air quality and amplified fuel consumption are the most issues that are being faced in urban cities due to traffic-r
Externí odkaz:
https://doaj.org/article/e93215b71ef24edc9cfff0b4943388b3
Autor:
Mete Ozbaltan, Mehmet Kurucan
Publikováno v:
IEEE Access, Vol 12, Pp 14776-14786 (2024)
We propose a new modeling framework to compute the most likely path for stochastic hidden systems; where the computation is based on the control theory of discrete event systems. The main innovation in this proposed model is calculating which event w
Externí odkaz:
https://doaj.org/article/5c11f5e166344945bc783cf98a41da16
Yes
In this paper, we discuss a framework for synthesising manufacturing process controllers using situation calculus, a well-known second-order logic for reasoning about actions in AI. Using a library of high-level ConGolog programs and logical
In this paper, we discuss a framework for synthesising manufacturing process controllers using situation calculus, a well-known second-order logic for reasoning about actions in AI. Using a library of high-level ConGolog programs and logical
Externí odkaz:
http://hdl.handle.net/10454/19661
Autor:
Mete Özbaltan, Serkan Çaşka
Publikováno v:
Drones, Vol 8, Iss 5, p 206 (2024)
We introduce a modeling framework aimed at incorporating symbolic discrete controller synthesis (DCS) into a virtual robot experimental platform. This framework involves symbolically representing the behaviors of robotic systems along with their cont
Externí odkaz:
https://doaj.org/article/dc1d3c9ab3e34c6e8ac49908869c2c14
Autor:
Abolfazl Lavaei, Mateo Perez, Milad Kazemi, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Majid Zamani
Publikováno v:
IEEE Open Journal of Control Systems, Vol 2, Pp 425-438 (2023)
We propose a compositional approach to synthesize policies for networks of continuous-space stochastic control systems with unknown dynamics using model-free reinforcement learning (RL). The approach is based on implicitly abstracting each subsystem
Externí odkaz:
https://doaj.org/article/45505ccfb81a4a648e3ed92d8009b464
Autor:
Victor Gasmann, Matthias Althoff
Publikováno v:
IEEE Open Journal of Control Systems, Vol 2, Pp 310-324 (2023)
We present a novel, correct-by-construction control approach for disturbed, nonlinear systems with continuous state feedback under state and input constraints. For the first time, we jointly synthesize a feedforward and feedback controller by solving
Externí odkaz:
https://doaj.org/article/b3312f04933e4b409f486c7ad1b8f2ea
Akademický článek
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Autor:
Nejati, Ameneh, Zamani, Majid
Publikováno v:
Leibniz Transactions on Embedded Systems, Vol 8, Iss 2, Pp 06:1-06:17 (2022)
This paper proposes a compositional framework based on dissipativity approaches to construct control barrier certificates for networks of continuous-time stochastic hybrid systems. The proposed scheme leverages the structure of the interconnection to
Externí odkaz:
https://doaj.org/article/a448bf869765417888665620e44b0ec8
Akademický článek
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